Unsupervised State Representation Learning in Atari - Ankesh Anand; Evan Racah; Sherjil Ozair; Yoshua Bengio; Marc-Alexandre Côté; R. Devon Hjelm (CoRR, 2019)

Perceptual Generative Autoencoders - Zijun Zhang; Ruixiang Zhang; Zongpeng Li; Yoshua Bengio; Liam Paull (CoRR, 2019)

Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives - Anirudh Goyal; Shagun Sodhani; Jonathan Binas; Xue Bin Peng; Sergey Levine; Yoshua Bengio (CoRR, 2019)

Learning the Arrow of Time - Nasim Rahaman; Steffen Wolf; Anirudh Goyal; Roman Remme; Yoshua Bengio (CoRR, 2019)

Weakly-supervised Knowledge Graph Alignment with Adversarial Learning - Meng Qu; Jian Tang; Yoshua Bengio (CoRR, 2019)

Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization - Md Mahfuzur Rahman Siddiquee; Zongwei Zhou; Nima Tajbakhsh; Ruibin Feng; Michael B. Gotway; Yoshua Bengio; Jianming Liang (CoRR, 2019)

Interactive Language Learning by Question Answering - Xingdi Yuan; Marc-Alexandre Côté; Jie Fu; Zhouhan Lin; Christopher J. Pal; Yoshua Bengio; Adam Trischler (CoRR, 2019)

Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures - Jordan Hoffmann; Louis Maestrati; Yoshihide Sawada; Jian Tang; Jean Michel D. Sellier; Yoshua Bengio (CoRR, 2019)

Torchmeta: A Meta-Learning library for PyTorch - Tristan Deleu; Tobias Würfl; Mandana Samiei; Joseph Paul Cohen; Yoshua Bengio (CoRR, 2019)

Recurrent Independent Mechanisms - Anirudh Goyal; Alex Lamb; Jordan Hoffmann; Shagun Sodhani; Sergey Levine; Yoshua Bengio; Bernhard Schölkopf (CoRR, 2019)

Avoidance Learning Using Observational Reinforcement Learning - David Venuto; Léonard Boussioux; Junhao Wang; Rola Dali; Jhelum Chakravorty; Yoshua Bengio; Doina Precup (CoRR, 2019)

GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning - Vikas Verma; Meng Qu; Alex Lamb; Yoshua Bengio; Juho Kannala; Jian Tang (CoRR, 2019)

Underwhelming Generalization Improvements From Controlling Feature Attribution - Joseph D. Viviano; Becks Simpson; Francis Dutil; Yoshua Bengio; Joseph Paul Cohen (CoRR, 2019)

Variational Temporal Abstraction - Taesup Kim; Sungjin Ahn; Yoshua Bengio (CoRR, 2019)

Learning Neural Causal Models from Unknown Interventions - Nan Rosemary Ke; Olexa Bilaniuk; Anirudh Goyal; Stefan Bauer; Hugo Larochelle; Chris Pal; Yoshua Bengio (CoRR, 2019)

MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis - Kundan Kumar; Rithesh Kumar; Thibault de Boissiere; Lucas Gestin; Wei Zhen Teoh; Jose Sotelo; Alexandre de Brébisson; Yoshua Bengio; Aaron C. Courville (CoRR, 2019)

Predicting ice flow using machine learning - Yimeng Min; S. Karthik Mukkavilli; Yoshua Bengio (CoRR, 2019)

Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery - Shawn Tan; Guillaume Androz; Ahmad Chamseddine; Pierre Fecteau; Aaron C. Courville; Yoshua Bengio; Joseph Paul Cohen (CoRR, 2019)

Establishing an Evaluation Metric to Quantify Climate Change Image Realism - Sharon Zhou; Alexandra Luccioni; Gautier Cosne; Michael S. Bernstein; Yoshua Bengio (CoRR, 2019)

Small-GAN: Speeding Up GAN Training Using Core-sets - Samarth Sinha; Han Zhang; Anirudh Goyal; Yoshua Bengio; Hugo Larochelle; Augustus Odena (CoRR, 2019)

Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models - Tong Che; Xiaofeng Liu; Site Li; Yubin Ge; Ruixiang Zhang; Caiming Xiong; Yoshua Bengio (CoRR, 2019)

Ghost Units Yield Biologically Plausible Backprop in Deep Neural Networks - Thomas Mesnard; Gaëtan Vignoud; João Sacramento; Walter Senn; Yoshua Bengio (CoRR, 2019)

Automated curriculum generation for Policy Gradients from Demonstrations - Anirudh Srinivasan; Dzmitry Bahdanau; Maxime Chevalier-Boisvert; Yoshua Bengio (CoRR, 2019)

Applying Knowledge Transfer for Water Body Segmentation in Peru - Jessenia Gonzalez; Debjani Bhowmick; Cesar Beltran; Kris Sankaran; Yoshua Bengio (CoRR, 2019)

The effect of task and training on intermediate representations in convolutional neural networks revealed with modified RV similarity analysis - Jessica A. F. Thompson; Yoshua Bengio; Marc Schönwiesner (CoRR, 2019)

CLOSURE: Assessing Systematic Generalization of CLEVR Models - Dzmitry Bahdanau; Harm de Vries; Timothy J. O'Donnell; Shikhar Murty; Philippe Beaudoin; Yoshua Bengio; Aaron C. Courville (CoRR, 2019)

Joint Learning of Generative Translator and Classifier for Visually Similar Classes - ByungIn Yoo; Tristan Sylvain; Yoshua Bengio; Junmo Kim (CoRR, 2019)

A learning-based algorithm to quickly compute good primal solutions for Stochastic Integer Programs - Yoshua Bengio; Emma Frejinger; Andrea Lodi; Rahul Patel; Sriram Sankaranarayanan (CoRR, 2019)

On the Morality of Artificial Intelligence - Alexandra Luccioni; Yoshua Bengio (CoRR, 2019)

Deep convolutional networks for quality assessment of protein folds - Georgy Derevyanko; Sergei Grudinin; Yoshua Bengio; Guillaume Lamoureux (Bioinform., 2018)

Fine-grained attention mechanism for neural machine translation - Heeyoul Choi; Kyunghyun Cho; Yoshua Bengio (Neurocomputing, 2018)

Learning normalized inputs for iterative estimation in medical image segmentation - Michal Drozdzal; Gabriel Chartrand; Eugene Vorontsov; Mahsa Shakeri; Lisa Di-Jorio; An Tang; Adriana Romero; Yoshua Bengio; Chris Pal; Samuel Kadoury (Medical Image Anal., 2018)

Dynamic Neural Turing Machine with Continuous and Discrete Addressing Schemes - Çaglar Gülçehre; Sarath Chandar; Kyunghyun Cho; Yoshua Bengio (Neural Comput., 2018)

Drawing and Recognizing Chinese Characters with Recurrent Neural Network - Xu-Yao Zhang; Fei Yin; Yan-Ming Zhang; Cheng-Lin Liu; Yoshua Bengio (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Light Gated Recurrent Units for Speech Recognition - Mirco Ravanelli; Philemon Brakel; Maurizio Omologo; Yoshua Bengio (IEEE Trans. Emerg. Top. Comput. Intell., 2018)

Gated Orthogonal Recurrent Units: On Learning to Forget - Li Jing; Çaglar Gülçehre; John Peurifoy; Yichen Shen; Max Tegmark; Marin Soljacic; Yoshua Bengio (The Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, USA, February 2-7, 2018, 2018)

Neural Models for Key Phrase Extraction and Question Generation - Sandeep Subramanian; Tong Wang; Xingdi Yuan; Saizheng Zhang; Adam Trischler; Yoshua Bengio (Proceedings of the Workshop on Machine Reading for Question Answering@ACL 2018, Melbourne, Australia, July 19, 2018, 2018)

Straight to the Tree: Constituency Parsing with Neural Syntactic Distance - Yikang Shen; Zhouhan Lin; Athul Paul Jacob; Alessandro Sordoni; Aaron C. Courville; Yoshua Bengio (Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018, Melbourne, Australia, July 15-20, 2018, Volume 1: Long Papers, 2018)

On the Iterative Refinement of Densely Connected Representation Levels for Semantic Segmentation - Arantxa Casanova; Guillem Cucurull; Michal Drozdzal; Adriana Romero; Yoshua Bengio (2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2018, Salt Lake City, UT, USA, June 18-22, 2018, 2018)

HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering - Zhilin Yang; Peng Qi; Saizheng Zhang; Yoshua Bengio; William W. Cohen; Ruslan Salakhutdinov; Christopher D. Manning (Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018, 2018)

Width of Minima Reached by Stochastic Gradient Descent is Influenced by Learning Rate to Batch Size Ratio - Stanislaw Jastrzebski; Zachary Kenton; Devansh Arpit; Nicolas Ballas; Asja Fischer; Yoshua Bengio; Amos J. Storkey (Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part III, 2018)

Monaural Singing Voice Separation with Skip-Filtering Connections and Recurrent Inference of Time-Frequency Mask - Stylianos Ioannis Mimilakis; Konstantinos Drossos; João Felipe Santos; Gerald Schuller; Tuomas Virtanen; Yoshua Bengio (2018 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2018, Calgary, AB, Canada, April 15-20, 2018, 2018)

Dynamic Frame Skipping for Fast Speech Recognition in Recurrent Neural Network Based Acoustic Models - Inchul Song; Junyoung Chung; Taesup Kim; Yoshua Bengio (2018 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2018, Calgary, AB, Canada, April 15-20, 2018, 2018)

Towards End-to-end Spoken Language Understanding - Dmitriy Serdyuk; Yongqiang Wang; Christian Fuegen; Anuj Kumar; Baiyang Liu; Yoshua Bengio (2018 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2018, Calgary, AB, Canada, April 15-20, 2018, 2018)

Boundary Seeking GANs - R. Devon Hjelm; Athul Paul Jacob; Adam Trischler; Gerry Che; Kyunghyun Cho; Yoshua Bengio (6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings, 2018)

Residual Connections Encourage Iterative Inference - Stanislaw Jastrzebski; Devansh Arpit; Nicolas Ballas; Vikas Verma; Tong Che; Yoshua Bengio (6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings, 2018)

Finding Flatter Minima with SGD - Stanislaw Jastrzebski; Zachary Kenton; Devansh Arpit; Nicolas Ballas; Asja Fischer; Yoshua Bengio; Amos J. Storkey (6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Workshop Track Proceedings, 2018)

FigureQA: An Annotated Figure Dataset for Visual Reasoning - Samira Ebrahimi Kahou; Vincent Michalski; Adam Atkinson; Ákos Kádár; Adam Trischler; Yoshua Bengio (6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Workshop Track Proceedings, 2018)

Universal Successor Representations for Transfer Reinforcement Learning - Chen Ma; Junfeng Wen; Yoshua Bengio (6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Workshop Track Proceedings, 2018)

Extending the Framework of Equilibrium Propagation to General Dynamics - Benjamin Scellier; Anirudh Goyal; Jonathan Binas; Thomas Mesnard; Yoshua Bengio (6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Workshop Track Proceedings, 2018)

Twin Networks: Matching the Future for Sequence Generation - Dmitriy Serdyuk; Nan Rosemary Ke; Alessandro Sordoni; Adam Trischler; Chris Pal; Yoshua Bengio (6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings, 2018)

ChatPainter: Improving Text to Image Generation using Dialogue - Shikhar Sharma; Dendi Suhubdy; Vincent Michalski; Samira Ebrahimi Kahou; Yoshua Bengio (6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Workshop Track Proceedings, 2018)

Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning - Sandeep Subramanian; Adam Trischler; Yoshua Bengio; Christopher J. Pal (6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings, 2018)

Deep Complex Networks - Chiheb Trabelsi; Olexa Bilaniuk; Ying Zhang; Dmitriy Serdyuk; Sandeep Subramanian; João Felipe Santos; Soroush Mehri; Negar Rostamzadeh; Yoshua Bengio; Christopher J. Pal (6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings, 2018)

Graph Attention Networks - Petar Velickovic; Guillem Cucurull; Arantxa Casanova; Adriana Romero; Pietro Liò; Yoshua Bengio (6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings, 2018)

Fraternal Dropout - Konrad Zolna; Devansh Arpit; Dendi Suhubdy; Yoshua Bengio (6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings, 2018)

Mutual Information Neural Estimation - Mohamed Ishmael Belghazi; Aristide Baratin; Sai Rajeswar; Sherjil Ozair; Yoshua Bengio; R. Devon Hjelm; Aaron C. Courville (Proceedings of the 35th International Conference on Machine Learning, ICML 2018, Stockholmsmässan, Stockholm, Sweden, July 10-15, 2018, 2018)

Focused Hierarchical RNNs for Conditional Sequence Processing - Nan Rosemary Ke; Konrad Zolna; Alessandro Sordoni; Zhouhan Lin; Adam Trischler; Yoshua Bengio; Joelle Pineau; Laurent Charlin; Christopher J. Pal (Proceedings of the 35th International Conference on Machine Learning, ICML 2018, Stockholmsmässan, Stockholm, Sweden, July 10-15, 2018, 2018)

MaD TwinNet: Masker-Denoiser Architecture with Twin Networks for Monaural Sound Source Separation - Konstantinos Drossos; Stylianos Ioannis Mimilakis; Dmitriy Serdyuk; Gerald Schuller; Tuomas Virtanen; Yoshua Bengio (2018 International Joint Conference on Neural Networks, IJCNN 2018, Rio de Janeiro, Brazil, July 8-13, 2018, 2018)

Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition - Titouan Parcollet; Ying Zhang; Mohamed Morchid; Chiheb Trabelsi; Georges Linarès; Renato de Mori; Yoshua Bengio (19th Annual Conference of the International Speech Communication Association, Interspeech 2018, Hyderabad, India, September 2-6, 2018, 2018)

Twin Regularization for Online Speech Recognition - Mirco Ravanelli; Dmitriy Serdyuk; Yoshua Bengio (19th Annual Conference of the International Speech Communication Association, Interspeech 2018, Hyderabad, India, September 2-6, 2018, 2018)

Image-to-image translation for cross-domain disentanglement - Abel Gonzalez-Garcia; Joost van de Weijer; Yoshua Bengio (Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montréal, Canada, 2018)

MetaGAN: An Adversarial Approach to Few-Shot Learning - Ruixiang Zhang; Tong Che; Zoubin Ghahramani; Yoshua Bengio; Yangqiu Song (Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montréal, Canada, 2018)

Bayesian Model-Agnostic Meta-Learning - Jaesik Yoon; Taesup Kim; Ousmane Dia; Sungwoong Kim; Yoshua Bengio; Sungjin Ahn (Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montréal, Canada, 2018)

Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding - Nan Rosemary Ke; Anirudh Goyal; Olexa Bilaniuk; Jonathan Binas; Michael C. Mozer; Chris Pal; Yoshua Bengio (Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montréal, Canada, 2018)

Dendritic cortical microcircuits approximate the backpropagation algorithm - João Sacramento; Rui Ponte Costa; Yoshua Bengio; Walter Senn (Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, December 3-8, 2018, Montréal, Canada, 2018)

Learning Hierarchical Structures On-The-Fly with a Recurrent-Recursive Model for Sequences - Athul Paul Jacob; Zhouhan Lin; Alessandro Sordoni; Yoshua Bengio (Proceedings of The Third Workshop on Representation Learning for NLP, Rep4NLP@ACL 2018, Melbourne, Australia, July 20, 2018, 2018)

Speaker Recognition from Raw Waveform with SincNet - Mirco Ravanelli; Yoshua Bengio (2018 IEEE Spoken Language Technology Workshop, SLT 2018, Athens, Greece, December 18-21, 2018, 2018)

Dendritic error backpropagation in deep cortical microcircuits - João Sacramento; Rui Ponte Costa; Yoshua Bengio; Walter Senn (CoRR, 2018)

ObamaNet: Photo-realistic lip-sync from text - Rithesh Kumar; Jose Sotelo; Kundan Kumar; Alexandre de Brébisson; Yoshua Bengio (CoRR, 2018)

A3T: Adversarially Augmented Adversarial Training - Akram Erraqabi; Aristide Baratin; Yoshua Bengio; Simon Lacoste-Julien (CoRR, 2018)

A Deep Reinforcement Learning Chatbot (Short Version) - Iulian Vlad Serban; Chinnadhurai Sankar; Mathieu Germain; Saizheng Zhang; Zhouhan Lin; Sandeep Subramanian; Taesup Kim; Michael Pieper; Sarath Chandar; Nan Rosemary Ke; Sai Rajeswar; Alexandre de Brébisson; et al. (CoRR, 2018)

MaD TwinNet: Masker-Denoiser Architecture with Twin Networks for Monaural Sound Source Separation - Konstantinos Drossos; Stylianos Ioannis Mimilakis; Dmitriy Serdyuk; Gerald Schuller; Tuomas Virtanen; Yoshua Bengio (CoRR, 2018)

Generalization in Machine Learning via Analytical Learning Theory - Kenji Kawaguchi; Yoshua Bengio (CoRR, 2018)

ChatPainter: Improving Text to Image Generation using Dialogue - Shikhar Sharma; Dendi Suhubdy; Vincent Michalski; Samira Ebrahimi Kahou; Yoshua Bengio (CoRR, 2018)

Towards end-to-end spoken language understanding - Dmitriy Serdyuk; Yongqiang Wang; Christian Fuegen; Anuj Kumar; Baiyang Liu; Yoshua Bengio (CoRR, 2018)

A Walk with SGD - Chen Xing; Devansh Arpit; Christos Tsirigotis; Yoshua Bengio (CoRR, 2018)

Learning Anonymized Representations with Adversarial Neural Networks - Clément Feutry; Pablo Piantanida; Yoshua Bengio; Pierre Duhamel (CoRR, 2018)

Disentangling the independently controllable factors of variation by interacting with the world - Valentin Thomas; Emmanuel Bengio; William Fedus; Jules Pondard; Philippe Beaudoin; Hugo Larochelle; Joelle Pineau; Doina Precup; Yoshua Bengio (CoRR, 2018)

Light Gated Recurrent Units for Speech Recognition - Mirco Ravanelli; Philemon Brakel; Maurizio Omologo; Yoshua Bengio (CoRR, 2018)

Fine-Grained Attention Mechanism for Neural Machine Translation - Heeyoul Choi; Kyunghyun Cho; Yoshua Bengio (CoRR, 2018)

Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning - Sandeep Subramanian; Adam Trischler; Yoshua Bengio; Christopher J. Pal (CoRR, 2018)

Recall Traces: Backtracking Models for Efficient Reinforcement Learning - Anirudh Goyal; Philemon Brakel; William Fedus; Timothy P. Lillicrap; Sergey Levine; Hugo Larochelle; Yoshua Bengio (CoRR, 2018)

Fortified Networks: Improving the Robustness of Deep Networks by Modeling the Manifold of Hidden Representations - Alex Lamb; Jonathan Binas; Anirudh Goyal; Dmitriy Serdyuk; Sandeep Subramanian; Ioannis Mitliagkas; Yoshua Bengio (CoRR, 2018)

Universal Successor Representations for Transfer Reinforcement Learning - Chen Ma; Junfeng Wen; Yoshua Bengio (CoRR, 2018)

Twin Regularization for online speech recognition - Mirco Ravanelli; Dmitriy Serdyuk; Yoshua Bengio (CoRR, 2018)

Commonsense mining as knowledge base completion? A study on the impact of novelty - Stanislaw Jastrzebski; Dzmitry Bahdanau; Seyedarian Hosseini; Michael Noukhovitch; Yoshua Bengio; Jackie Chi Kit Cheung (CoRR, 2018)

Low-memory convolutional neural networks through incremental depth-first processing - Jonathan Binas; Yoshua Bengio (CoRR, 2018)

On the iterative refinement of densely connected representation levels for semantic segmentation - Arantxa Casanova; Guillem Cucurull; Michal Drozdzal; Adriana Romero; Yoshua Bengio (CoRR, 2018)

Image-to-image translation for cross-domain disentanglement - Abel Gonzalez-Garcia; Joost van de Weijer; Yoshua Bengio (CoRR, 2018)

Learning to rank for censored survival data - Margaux Luck; Tristan Sylvain; Joseph Paul Cohen; Héloïse Cardinal; Andrea Lodi; Yoshua Bengio (CoRR, 2018)

Bayesian Model-Agnostic Meta-Learning - Taesup Kim; Jaesik Yoon; Ousmane Dia; Sungwoong Kim; Yoshua Bengio; Sungjin Ahn (CoRR, 2018)

Straight to the Tree: Constituency Parsing with Neural Syntactic Distance - Yikang Shen; Zhouhan Lin; Athul Paul Jacob; Alessandro Sordoni; Aaron C. Courville; Yoshua Bengio (CoRR, 2018)

Focused Hierarchical RNNs for Conditional Sequence Processing - Nan Rosemary Ke; Konrad Zolna; Alessandro Sordoni; Zhouhan Lin; Adam Trischler; Yoshua Bengio; Joelle Pineau; Laurent Charlin; Chris Pal (CoRR, 2018)

Quaternion Recurrent Neural Networks - Titouan Parcollet; Mirco Ravanelli; Mohamed Morchid; Georges Linarès; Chiheb Trabelsi; Renato De Mori; Yoshua Bengio (CoRR, 2018)

Manifold Mixup: Encouraging Meaningful On-Manifold Interpolation as a Regularizer - Vikas Verma; Alex Lamb; Christopher Beckham; Aaron C. Courville; Ioannis Mitliagkas; Yoshua Bengio (CoRR, 2018)

Modularity Matters: Learning Invariant Relational Reasoning Tasks - Jason Jo; Vikas Verma; Yoshua Bengio (CoRR, 2018)

Towards Gene Expression Convolutions using Gene Interaction Graphs - Francis Dutil; Joseph Paul Cohen; Martin Weiss; Georgy Derevyanko; Yoshua Bengio (CoRR, 2018)

Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition - Titouan Parcollet; Ying Zhang; Mohamed Morchid; Chiheb Trabelsi; Georges Linarès; Renato De Mori; Yoshua Bengio (CoRR, 2018)

On the Spectral Bias of Deep Neural Networks - Nasim Rahaman; Devansh Arpit; Aristide Baratin; Felix Draxler; Min Lin; Fred A. Hamprecht; Yoshua Bengio; Aaron C. Courville (CoRR, 2018)

The Bottleneck Simulator: A Model-based Deep Reinforcement Learning Approach - Iulian Vlad Serban; Chinnadhurai Sankar; Michael Pieper; Joelle Pineau; Yoshua Bengio (CoRR, 2018)

DNN's Sharpest Directions Along the SGD Trajectory - Stanislaw Jastrzebski; Zachary Kenton; Nicolas Ballas; Asja Fischer; Yoshua Bengio; Amos J. Storkey (CoRR, 2018)

Predicting Solution Summaries to Integer Linear Programs under Imperfect Information with Machine Learning - Eric Larsen; Sébastien Lachapelle; Yoshua Bengio; Emma Frejinger; Simon Lacoste-Julien; Andrea Lodi (CoRR, 2018)

Speaker Recognition from raw waveform with SincNet - Mirco Ravanelli; Yoshua Bengio (CoRR, 2018)

Generalization of Equilibrium Propagation to Vector Field Dynamics - Benjamin Scellier; Anirudh Goyal; Jonathan Binas; Thomas Mesnard; Yoshua Bengio (CoRR, 2018)

Learning deep representations by mutual information estimation and maximization - R. Devon Hjelm; Alex Fedorov; Samuel Lavoie-Marchildon; Karan Grewal; Adam Trischler; Yoshua Bengio (CoRR, 2018)

Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding - Nan Rosemary Ke; Anirudh Goyal; Olexa Bilaniuk; Jonathan Binas; Michael C. Mozer; Chris Pal; Yoshua Bengio (CoRR, 2018)

Combined Reinforcement Learning via Abstract Representations - Vincent François-Lavet; Yoshua Bengio; Doina Precup; Joelle Pineau (CoRR, 2018)

On the Learning Dynamics of Deep Neural Networks - Remi Tachet des Combes; Mohammad Pezeshki; Samira Shabanian; Aaron C. Courville; Yoshua Bengio (CoRR, 2018)

HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering - Zhilin Yang; Peng Qi; Saizheng Zhang; Yoshua Bengio; William W. Cohen; Ruslan Salakhutdinov; Christopher D. Manning (CoRR, 2018)

Deep Graph Infomax - Petar Velickovic; William Fedus; William L. Hamilton; Pietro Liò; Yoshua Bengio; R. Devon Hjelm (CoRR, 2018)

Adversarial Domain Adaptation for Stable Brain-Machine Interfaces - Ali Farshchian; Juan Alvaro Gallego; Joseph Paul Cohen; Yoshua Bengio; Lee E. Miller; Sara A. Solla (CoRR, 2018)

h-detach: Modifying the LSTM Gradient Towards Better Optimization - Devansh Arpit; Bhargav Kanuparthi; Giancarlo Kerg; Nan Rosemary Ke; Ioannis Mitliagkas; Yoshua Bengio (CoRR, 2018)

Towards the Latent Transcriptome - Assya Trofimov; Francis Dutil; Claude Perreault; Sébastien Lemieux; Yoshua Bengio; Joseph Paul Cohen (CoRR, 2018)

A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies - Homanga Bharadhwaj; Zihan Wang; Yoshua Bengio; Liam Paull (CoRR, 2018)

BabyAI: First Steps Towards Grounded Language Learning With a Human In the Loop - Maxime Chevalier-Boisvert; Dzmitry Bahdanau; Salem Lahlou; Lucas Willems; Chitwan Saharia; Thien Huu Nguyen; Yoshua Bengio (CoRR, 2018)

How can deep learning advance computational modeling of sensory information processing? - Jessica A. F. Thompson; Yoshua Bengio; Elia Formisano; Marc Schönwiesner (CoRR, 2018)

Depth with Nonlinearity Creates No Bad Local Minima in ResNets - Kenji Kawaguchi; Yoshua Bengio (CoRR, 2018)

Dendritic cortical microcircuits approximate the backpropagation algorithm - João Sacramento; Rui Ponte Costa; Yoshua Bengio; Walter Senn (CoRR, 2018)

Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon - Yoshua Bengio; Andrea Lodi; Antoine Prouvost (CoRR, 2018)

On Training Recurrent Neural Networks for Lifelong Learning - Shagun Sodhani; Sarath Chandar; Yoshua Bengio (CoRR, 2018)

Representation Mixing for TTS Synthesis - Kyle Kastner; João Felipe Santos; Yoshua Bengio; Aaron C. Courville (CoRR, 2018)

The PyTorch-Kaldi Speech Recognition Toolkit - Mirco Ravanelli; Titouan Parcollet; Yoshua Bengio (CoRR, 2018)

Interpretable Convolutional Filters with SincNet - Mirco Ravanelli; Yoshua Bengio (CoRR, 2018)

DEFactor: Differentiable Edge Factorization-based Probabilistic Graph Generation - Rim Assouel; Mohamed Ahmed; Marwin H. S. Segler; Amir Saffari; Yoshua Bengio (CoRR, 2018)

Keep Drawing It: Iterative language-based image generation and editing - Alaaeldin El-Nouby; Shikhar Sharma; Hannes Schulz; R. Devon Hjelm; Layla El Asri; Samira Ebrahimi Kahou; Yoshua Bengio; Graham W. Taylor (CoRR, 2018)

Learning Speaker Representations with Mutual Information - Mirco Ravanelli; Yoshua Bengio (CoRR, 2018)

The effects of negative adaptation in Model-Agnostic Meta-Learning - Tristan Deleu; Yoshua Bengio (CoRR, 2018)

An Empirical Study of Example Forgetting during Deep Neural Network Learning - Mariya Toneva; Alessandro Sordoni; Remi Tachet des Combes; Adam Trischler; Yoshua Bengio; Geoffrey J. Gordon (CoRR, 2018)

Speech and Speaker Recognition from Raw Waveform with SincNet - Mirco Ravanelli; Yoshua Bengio (CoRR, 2018)

Quantized Guided Pruning for Efficient Hardware Implementations of Convolutional Neural Networks - Ghouthi Boukli Hacene; Vincent Gripon; Matthieu Arzel; Nicolas Farrugia; Yoshua Bengio (CoRR, 2018)

On integrating a language model into neural machine translation - Çaglar Gülçehre; Orhan Firat; Kelvin Xu; Kyunghyun Cho; Yoshua Bengio (Comput. Speech Lang., 2017)

Context-dependent word representation for neural machine translation - Heeyoul Choi; Kyunghyun Cho; Yoshua Bengio (Comput. Speech Lang., 2017)

Multi-way, multilingual neural machine translation - Orhan Firat; Kyunghyun Cho; Baskaran Sankaran; Fatos T. Yarman-Vural; Yoshua Bengio (Comput. Speech Lang., 2017)

Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation - Benjamin Scellier; Yoshua Bengio (Frontiers Comput. Neurosci., 2017)

Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations - Itay Hubara; Matthieu Courbariaux; Daniel Soudry; Ran El-Yaniv; Yoshua Bengio (J. Mach. Learn. Res., 2017)

Brain tumor segmentation with Deep Neural Networks - Mohammad Havaei; Axel Davy; David Warde-Farley; Antoine Biard; Aaron C. Courville; Yoshua Bengio; Chris Pal; Pierre-Marc Jodoin; Hugo Larochelle (Medical Image Anal., 2017)

The representational geometry of word meanings acquired by neural machine translation models - Felix Hill; Kyunghyun Cho; Sébastien Jean; Yoshua Bengio (Mach. Transl., 2017)

STDP-Compatible Approximation of Backpropagation in an Energy-Based Model - Yoshua Bengio; Thomas Mesnard; Asja Fischer; Saizheng Zhang; Yuhuai Wu (Neural Comput., 2017)

Online and offline handwritten Chinese character recognition: A comprehensive study and new benchmark - Xu-Yao Zhang; Yoshua Bengio; Cheng-Lin Liu (Pattern Recognit., 2017)

End-to-End Online Writer Identification With Recurrent Neural Network - Xu-Yao Zhang; Guo-Sen Xie; Cheng-Lin Liu; Yoshua Bengio (IEEE Trans. Hum. Mach. Syst., 2017)

Denoising Criterion for Variational Auto-Encoding Framework - Daniel Jiwoong Im; Sungjin Ahn; Roland Memisevic; Yoshua Bengio (Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA, 2017)

Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation - Iulian Vlad Serban; Tim Klinger; Gerald Tesauro; Kartik Talamadupula; Bowen Zhou; Yoshua Bengio; Aaron C. Courville (Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA, 2017)

A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues - Iulian Vlad Serban; Alessandro Sordoni; Ryan Lowe; Laurent Charlin; Joelle Pineau; Aaron C. Courville; Yoshua Bengio (Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA, 2017)

Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses - Ryan Lowe; Michael Noseworthy; Iulian Vlad Serban; Nicolas Angelard-Gontier; Yoshua Bengio; Joelle Pineau (Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, Canada, July 30 - August 4, Volume 1: Long Papers, 2017)

The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation - Simon Jégou; Michal Drozdzal; David Vázquez; Adriana Romero; Yoshua Bengio (2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2017, Honolulu, HI, USA, July 21-26, 2017, 2017)

Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space - Anh Nguyen; Jeff Clune; Yoshua Bengio; Alexey Dosovitskiy; Jason Yosinski (2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017, 2017)

On random weights for texture generation in one layer CNNS - Mihir Mongia; Kundan Kumar; Akram Erraqabi; Yoshua Bengio (2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017, 2017)

A network of deep neural networks for Distant Speech Recognition - Mirco Ravanelli; Philemon Brakel; Maurizio Omologo; Yoshua Bengio (2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017, 2017)

Count-ception: Counting by Fully Convolutional Redundant Counting - Joseph Paul Cohen; Geneviève Boucher; Craig A. Glastonbury; Henry Z. Lo; Yoshua Bengio (2017 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2017, Venice, Italy, October 22-29, 2017, 2017)

Understanding intermediate layers using linear classifier probes - Guillaume Alain; Yoshua Bengio (5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Workshop Track Proceedings, 2017)

An Actor-Critic Algorithm for Sequence Prediction - Dzmitry Bahdanau; Philemon Brakel; Kelvin Xu; Anirudh Goyal; Ryan Lowe; Joelle Pineau; Aaron C. Courville; Yoshua Bengio (5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Conference Track Proceedings, 2017)

Mode Regularized Generative Adversarial Networks - Tong Che; Yanran Li; Athul Paul Jacob; Yoshua Bengio; Wenjie Li (5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Conference Track Proceedings, 2017)

Hierarchical Multiscale Recurrent Neural Networks - Junyoung Chung; Sungjin Ahn; Yoshua Bengio (5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Conference Track Proceedings, 2017)

Mollifying Networks - Çaglar Gülçehre; Marcin Moczulski; Francesco Visin; Yoshua Bengio (5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Conference Track Proceedings, 2017)

Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations - David Krueger; Tegan Maharaj; János Kramár; Mohammad Pezeshki; Nicolas Ballas; Nan Rosemary Ke; Anirudh Goyal; Yoshua Bengio; Aaron C. Courville; Christopher J. Pal (5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Conference Track Proceedings, 2017)

A Structured Self-Attentive Sentence Embedding - Zhouhan Lin; Minwei Feng; Cícero Nogueira dos Santos; Mo Yu; Bing Xiang; Bowen Zhou; Yoshua Bengio (5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Conference Track Proceedings, 2017)

Towards an automatic Turing test: Learning to evaluate dialogue responses - Ryan Lowe; Michael Noseworthy; Iulian Vlad Serban; Nicolas Angelard-Gontier; Yoshua Bengio; Joelle Pineau (5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Workshop Track Proceedings, 2017)

SampleRNN: An Unconditional End-to-End Neural Audio Generation Model - Soroush Mehri; Kundan Kumar; Ishaan Gulrajani; Rithesh Kumar; Shubham Jain; Jose Sotelo; Aaron C. Courville; Yoshua Bengio (5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Conference Track Proceedings, 2017)

Generalizable Features From Unsupervised Learning - Mehdi Mirza; Aaron C. Courville; Yoshua Bengio (5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Workshop Track Proceedings, 2017)

Diet Networks: Thin Parameters for Fat Genomics - Adriana Romero; Pierre Luc Carrier; Akram Erraqabi; Tristan Sylvain; Alex Auvolat; Etienne Dejoie; Marc-André Legault; Marie-Pierre Dubé; Julie G. Hussin; Yoshua Bengio (5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Conference Track Proceedings, 2017)

Char2Wav: End-to-End Speech Synthesis - Jose Sotelo; Soroush Mehri; Kundan Kumar; João Felipe Santos; Kyle Kastner; Aaron C. Courville; Yoshua Bengio (5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Workshop Track Proceedings, 2017)

Improving Generative Adversarial Networks with Denoising Feature Matching - David Warde-Farley; Yoshua Bengio (5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Conference Track Proceedings, 2017)

A Closer Look at Memorization in Deep Networks - Devansh Arpit; Stanislaw Jastrzebski; Nicolas Ballas; David Krueger; Emmanuel Bengio; Maxinder S. Kanwal; Tegan Maharaj; Asja Fischer; Aaron C. Courville; Yoshua Bengio; Simon Lacoste-Julien (Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017, 2017)

Sharp Minima Can Generalize For Deep Nets - Laurent Dinh; Razvan Pascanu; Samy Bengio; Yoshua Bengio (Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017, 2017)

A robust adaptive stochastic gradient method for deep learning - Çaglar Gülçehre; Jose Sotelo; Marcin Moczulski; Yoshua Bengio (2017 International Joint Conference on Neural Networks, IJCNN 2017, Anchorage, AK, USA, May 14-19, 2017, 2017)

Improving Speech Recognition by Revising Gated Recurrent Units - Mirco Ravanelli; Philemon Brakel; Maurizio Omologo; Yoshua Bengio (18th Annual Conference of the International Speech Communication Association, Interspeech 2017, Stockholm, Sweden, August 20-24, 2017, 2017)

Dynamic Layer Normalization for Adaptive Neural Acoustic Modeling in Speech Recognition - Taesup Kim; Inchul Song; Yoshua Bengio (18th Annual Conference of the International Speech Communication Association, Interspeech 2017, Stockholm, Sweden, August 20-24, 2017, 2017)

Towards more hardware-friendly deep learning - Yoshua Bengio (Proceedings of the Workshop on Trends in Machine-Learning (and impact on computer architecture), TIML@ISCA 2017, Toronto, ON, Canada, June 25, 2017, 2017)

Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net - Anirudh Goyal; Nan Rosemary Ke; Surya Ganguli; Yoshua Bengio (Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4-9, 2017, Long Beach, CA, USA, 2017)

GibbsNet: Iterative Adversarial Inference for Deep Graphical Models - Alex Lamb; R. Devon Hjelm; Yaroslav Ganin; Joseph Paul Cohen; Aaron C. Courville; Yoshua Bengio (Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4-9, 2017, Long Beach, CA, USA, 2017)

Plan, Attend, Generate: Planning for Sequence-to-Sequence Models - Çaglar Gülçehre; Francis Dutil; Adam Trischler; Yoshua Bengio (Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4-9, 2017, Long Beach, CA, USA, 2017)

Z-Forcing: Training Stochastic Recurrent Networks - Anirudh Goyal; Alessandro Sordoni; Marc-Alexandre Côté; Nan Rosemary Ke; Yoshua Bengio (Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4-9, 2017, Long Beach, CA, USA, 2017)

Plan, Attend, Generate: Character-Level Neural Machine Translation with Planning - Çaglar Gülçehre; Francis Dutil; Adam Trischler; Yoshua Bengio (Proceedings of the 2nd Workshop on Representation Learning for NLP, Rep4NLP@ACL 2017, Vancouver, Canada, August 3, 2017, 2017)

Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks - Ying Zhang; Mohammad Pezeshki; Philemon Brakel; Saizheng Zhang; César Laurent; Yoshua Bengio; Aaron C. Courville (CoRR, 2017)

Memory Augmented Neural Networks with Wormhole Connections - Çaglar Gülçehre; Sarath Chandar; Yoshua Bengio (CoRR, 2017)

Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation - Michal Drozdzal; Gabriel Chartrand; Eugene Vorontsov; Lisa Di-Jorio; An Tang; Adriana Romero; Yoshua Bengio; Chris Pal; Samuel Kadoury (CoRR, 2017)

Maximum-Likelihood Augmented Discrete Generative Adversarial Networks - Tong Che; Yanran Li; Ruixiang Zhang; R. Devon Hjelm; Wenjie Li; Yangqiu Song; Yoshua Bengio (CoRR, 2017)

Boundary-Seeking Generative Adversarial Networks - R. Devon Hjelm; Athul Paul Jacob; Tong Che; Kyunghyun Cho; Yoshua Bengio (CoRR, 2017)

A Robust Adaptive Stochastic Gradient Method for Deep Learning - Çaglar Gülçehre; Jose Sotelo; Marcin Moczulski; Yoshua Bengio (CoRR, 2017)

A Structured Self-attentive Sentence Embedding - Zhouhan Lin; Minwei Feng; Cícero Nogueira dos Santos; Mo Yu; Bing Xiang; Bowen Zhou; Yoshua Bengio (CoRR, 2017)

Sharp Minima Can Generalize For Deep Nets - Laurent Dinh; Razvan Pascanu; Samy Bengio; Yoshua Bengio (CoRR, 2017)

Independently Controllable Features - Emmanuel Bengio; Valentin Thomas; Joelle Pineau; Doina Precup; Yoshua Bengio (CoRR, 2017)

A network of deep neural networks for distant speech recognition - Mirco Ravanelli; Philemon Brakel; Maurizio Omologo; Yoshua Bengio (CoRR, 2017)

Batch-normalized joint training for DNN-based distant speech recognition - Mirco Ravanelli; Philemon Brakel; Maurizio Omologo; Yoshua Bengio (CoRR, 2017)

Count-ception: Counting by Fully Convolutional Redundant Counting - Joseph Paul Cohen; Henry Z. Lo; Yoshua Bengio (CoRR, 2017)

Image Segmentation by Iterative Inference from Conditional Score Estimation - Adriana Romero; Michal Drozdzal; Akram Erraqabi; Simon Jégou; Yoshua Bengio (CoRR, 2017)

Deep Complex Networks - Chiheb Trabelsi; Olexa Bilaniuk; Dmitriy Serdyuk; Sandeep Subramanian; João Felipe Santos; Soroush Mehri; Negar Rostamzadeh; Yoshua Bengio; Christopher J. Pal (CoRR, 2017)

Deep Learning for Patient-Specific Kidney Graft Survival Analysis - Margaux Luck; Tristan Sylvain; Héloïse Cardinal; Andrea Lodi; Yoshua Bengio (CoRR, 2017)

Learning to Compute Word Embeddings On the Fly - Dzmitry Bahdanau; Tom Bosc; Stanislaw Jastrzebski; Edward Grefenstette; Pascal Vincent; Yoshua Bengio (CoRR, 2017)

Gated Orthogonal Recurrent Units: On Learning to Forget - Li Jing; Çaglar Gülçehre; John Peurifoy; Yichen Shen; Max Tegmark; Marin Soljacic; Yoshua Bengio (CoRR, 2017)

Plan, Attend, Generate: Character-level Neural Machine Translation with Planning in the Decoder - Çaglar Gülçehre; Francis Dutil; Adam Trischler; Yoshua Bengio (CoRR, 2017)

A Closer Look at Memorization in Deep Networks - Devansh Arpit; Stanislaw Jastrzebski; Nicolas Ballas; David Krueger; Emmanuel Bengio; Maxinder S. Kanwal; Tegan Maharaj; Asja Fischer; Aaron C. Courville; Yoshua Bengio; Simon Lacoste-Julien (CoRR, 2017)

Multiscale sequence modeling with a learned dictionary - Bart van Merriënboer; Amartya Sanyal; Hugo Larochelle; Yoshua Bengio (CoRR, 2017)

Dynamic Layer Normalization for Adaptive Neural Acoustic Modeling in Speech Recognition - Taesup Kim; Inchul Song; Yoshua Bengio (CoRR, 2017)

Independently Controllable Factors - Valentin Thomas; Jules Pondard; Emmanuel Bengio; Marc Sarfati; Philippe Beaudoin; Marie-Jean Meurs; Joelle Pineau; Doina Precup; Yoshua Bengio (CoRR, 2017)

Twin Networks: Using the Future as a Regularizer - Dmitriy Serdyuk; Nan Rosemary Ke; Alessandro Sordoni; Chris Pal; Yoshua Bengio (CoRR, 2017)

Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses - Ryan Lowe; Michael Noseworthy; Iulian Vlad Serban; Nicolas Angelard-Gontier; Yoshua Bengio; Joelle Pineau (CoRR, 2017)

A Deep Reinforcement Learning Chatbot - Iulian Vlad Serban; Chinnadhurai Sankar; Mathieu Germain; Saizheng Zhang; Zhouhan Lin; Sandeep Subramanian; Taesup Kim; Michael Pieper; Sarath Chandar; Nan Rosemary Ke; Sai Mudumba; Alexandre de Brébisson; et al. (CoRR, 2017)

The Consciousness Prior - Yoshua Bengio (CoRR, 2017)